2020/08/25 by Mohammad Abujubbeh, Abujubbeh, Mohammad, Sai Munikoti +3
Engineering · #FOS: Electrical engineering #Optimal Power Flow Distribution #Power Quality and Harmonics #Power System Reliability and Maintenance #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2008.10814
openalex publication_date 2020/08/25 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
With increasing penetration of renewable energy and active consumers, control\nand management of power distribution networks has become challenging. Renewable\nenergy sources can cause random voltage fluctuations as their output power\ndepends on weather conditions. Conventional voltage control schemes such as tap\nchangers and capacitor banks lack the foresight required to quickly alleviate\nvoltage violations. Thus, there is an urgent need for effective approaches for\npredicting and mitigating voltage violations as a result of random fluctuations\nin power injections. This work proposes a novel voltage monitoring approach\nbased on low-complexity, data-driven probabilistic voltage sensitivity\nanalysis. The usefulness of this work is not only in predicting voltage\nviolations in unbalanced distribution grids, but also in opening up the door\nfor optimal voltage control. Using system data and forecasts, the proposed\napproach predicts the distribution of system node voltages which is then used\nto to identify nodes that may violate the nominal operational limits with high\nprobability. The method is tested on the IEEE 37 node distribution system\nconsidering integrated distributed solar energy sources. The method is\nvalidated against the classic load flow based method and offers over 95 %\naccuracy in predicting voltage violations.\n